Example notes
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notes/example.org
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notes/example.org
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#+TITLE: Example Notes
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#+AUTHOR: Org Web Adapter Stuff
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* Today
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- Build a tiny server to browse Org files.
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- Make sure it works on mobile.
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* Ideas
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** Reader Mode
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Show a clean layout with headings and content.
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** Next Step
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Add editing endpoints and save-back support.
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Related list: [[file:to_watch.org][To Watch]]
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Related by ID: [[id:f2db82e0-c545-40fe-9458-55f8fe1bcb4b][To Watch (ID)]]
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* Scratch
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This paragraph demonstrates normal text.
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A second line stays as plain text for now.
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notes/example_01_foundations.org
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notes/example_01_foundations.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0101
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:END:
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#+TITLE: Foundations
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#+CREATED: [2026-02-01 Sun 09:00]
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* Foundations
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This note introduces the set.
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Math: $a^2 + b^2 = c^2$.
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Links:
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- [[file:example_02_calculus.org][Calculus Basics]]
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- [[file:example_03_linear_algebra.org][Linear Algebra]]
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- [[id:2e8a8baf-7a15-4e6f-97d2-7f93e73e0112][Review Checklist]]
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notes/example_02_calculus.org
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notes/example_02_calculus.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0102
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:END:
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#+TITLE: Calculus Basics
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#+CREATED: [2026-02-01 Sun 09:20]
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* Calculus Basics
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Math: $\frac{d}{dx}x^n = nx^{n-1}$.
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Links:
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- [[file:example_04_series.org][Series and Convergence]]
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- [[file:example_08_probability.org][Probability]]
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- [[file:example_01_foundations.org][Foundations]]
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notes/example_03_linear_algebra.org
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notes/example_03_linear_algebra.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0103
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:END:
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#+TITLE: Linear Algebra
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#+CREATED: [2026-02-01 Sun 09:40]
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* Linear Algebra
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Math: $A\vec{x}=\vec{b}$ and $\det(A) \neq 0$.
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Links:
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- [[file:example_05_eigenvalues.org][Eigenvalues]]
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- [[file:example_09_graphs.org][Graph Models]]
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- [[id:2e8a8baf-7a15-4e6f-97d2-7f93e73e0101][Foundations by ID]]
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notes/example_04_series.org
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notes/example_04_series.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0104
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:END:
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#+TITLE: Series and Convergence
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#+CREATED: [2026-02-01 Sun 10:00]
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* Series and Convergence
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Math: $\sum_{k=0}^{\infty} r^k = \frac{1}{1-r}$ for $|r|<1$.
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Links:
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- [[file:example_02_calculus.org][Calculus Basics]]
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- [[file:example_06_optimization.org][Optimization]]
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- [[file:example_10_physics_notes.org][Physics Notes]]
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notes/example_05_eigenvalues.org
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notes/example_05_eigenvalues.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0105
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:END:
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#+TITLE: Eigenvalues
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#+CREATED: [2026-02-01 Sun 10:20]
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* Eigenvalues
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Math: $A\vec{v}=\lambda\vec{v}$.
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Links:
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- [[file:example_03_linear_algebra.org][Linear Algebra]]
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- [[file:example_06_optimization.org][Optimization]]
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- [[file:example_11_machine_learning.org][Machine Learning]]
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notes/example_06_optimization.org
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notes/example_06_optimization.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0106
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:END:
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#+TITLE: Optimization
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#+CREATED: [2026-02-01 Sun 10:40]
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* Optimization
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Math: $\nabla f(x)=0$ at critical points.
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Links:
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- [[file:example_05_eigenvalues.org][Eigenvalues]]
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- [[file:example_11_machine_learning.org][Machine Learning]]
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- [[file:example_12_review_checklist.org][Review Checklist]]
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notes/example_07_number_theory.org
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notes/example_07_number_theory.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0107
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:END:
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#+TITLE: Number Theory
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#+CREATED: [2026-02-01 Sun 11:00]
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* Number Theory
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Math: $\gcd(a,b)$ and $a \equiv b \pmod n$.
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Links:
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- [[file:example_01_foundations.org][Foundations]]
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- [[file:example_08_probability.org][Probability]]
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- [[file:example_09_graphs.org][Graph Models]]
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notes/example_08_probability.org
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notes/example_08_probability.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0108
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:END:
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#+TITLE: Probability
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#+CREATED: [2026-02-01 Sun 11:20]
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* Probability
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Math: $P(A \mid B)=\frac{P(A\cap B)}{P(B)}$.
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Links:
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- [[file:example_10_physics_notes.org][Physics Notes]]
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- [[file:example_11_machine_learning.org][Machine Learning]]
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- [[id:2e8a8baf-7a15-4e6f-97d2-7f93e73e0107][Number Theory by ID]]
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notes/example_09_graphs.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0109
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:END:
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#+TITLE: Graph Models
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#+CREATED: [2026-02-01 Sun 11:40]
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* Graph Models
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Math: $|E| \leq \binom{|V|}{2}$ for simple undirected graphs.
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Links:
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- [[file:example_03_linear_algebra.org][Linear Algebra]]
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- [[file:example_12_review_checklist.org][Review Checklist]]
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- [[file:example_08_probability.org][Probability]]
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notes/example_10_physics_notes.org
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notes/example_10_physics_notes.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0110
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:END:
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#+TITLE: Physics Notes
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#+CREATED: [2026-02-01 Sun 12:00]
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* Physics Notes
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Math: $F=ma$ and $E=mc^2$.
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Links:
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- [[file:example_04_series.org][Series and Convergence]]
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- [[file:example_08_probability.org][Probability]]
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- [[file:example_11_machine_learning.org][Machine Learning]]
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notes/example_11_machine_learning.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0111
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:END:
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#+TITLE: Machine Learning
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#+CREATED: [2026-02-01 Sun 12:20]
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* Machine Learning
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Math: $\hat{y}=\sigma(\mathbf{w}^T\mathbf{x}+b)$.
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Links:
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- [[file:example_06_optimization.org][Optimization]]
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- [[file:example_05_eigenvalues.org][Eigenvalues]]
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- [[file:example_12_review_checklist.org][Review Checklist]]
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notes/example_12_review_checklist.org
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:PROPERTIES:
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:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0112
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:END:
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#+TITLE: Review Checklist
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#+CREATED: [2026-02-01 Sun 12:40]
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* Review Checklist
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Math: $\int_0^1 x^2\,dx = \frac{1}{3}$.
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Links:
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- [[file:example_01_foundations.org][Foundations]]
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- [[file:example_09_graphs.org][Graph Models]]
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- [[id:2e8a8baf-7a15-4e6f-97d2-7f93e73e0111][Machine Learning by ID]]
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